Invention Grant
- Patent Title: BAMBAM: parallel comparative analysis of high-throughput sequencing data
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Application No.: US15711487Application Date: 2017-09-21
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Publication No.: US11152080B2Publication Date: 2021-10-19
- Inventor: John Zachary Sanborn , David Haussler
- Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Applicant Address: US CA Oakland
- Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Current Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Current Assignee Address: US CA Oakland
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G16B20/20
- IPC: G16B20/20 ; G16B30/00 ; G16H50/20 ; G06F40/169 ; G16B30/10 ; G16B40/00 ; G06F3/0484 ; G06T11/20 ; G06N7/00 ; C12Q1/6886 ; G16H70/20 ; G16H10/40 ; G16H10/60
Abstract:
The present invention relates to methods for evaluating and/or predicting the outcome of a clinical condition, such as cancer, metastasis, AIDS, autism, Alzheimer's, and/or Parkinson's disorder. The methods can also be used to monitor and track changes in a patient's DNA and/or RNA during and following a clinical treatment regime. The methods may also be used to evaluate protein and/or metabolite levels that correlate with such clinical conditions. The methods are also of use to ascertain the probability outcome for a patient's particular prognosis.
Public/Granted literature
- US20180011968A1 BAMBAM: PARALLEL COMPARATIVE ANALYSIS OF HIGH-THROUGHPUT SEQUENCING DATA Public/Granted day:2018-01-11
Information query
